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85 lines
3.1 KiB
85 lines
3.1 KiB
8 years ago
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/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#include "paddle/operators/minus_op.h"
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#include "paddle/operators/net_op.h"
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namespace paddle {
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namespace operators {
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class MinusOp : public framework::OperatorWithKernel {
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public:
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MinusOp(const std::string &type, const VarNameMap &inputs,
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const VarNameMap &outputs, const framework::AttributeMap &attrs)
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: OperatorWithKernel(type, inputs, outputs, attrs) {}
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protected:
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void InferShape(const framework::InferShapeContext &ctx) const override {
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auto *left_tensor = ctx.Input<framework::Tensor>("X");
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auto *right_tensor = ctx.Input<framework::Tensor>("Y");
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PADDLE_ENFORCE_EQ(
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framework::product(left_tensor->dims()),
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framework::product(right_tensor->dims()),
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"Minus operator must take two tensor with same num of elements");
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ctx.Output<framework::Tensor>("Out")->Resize(left_tensor->dims());
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}
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};
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class MinusOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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MinusOpMaker(framework::OpProto *proto, framework::OpAttrChecker *op_checker)
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: OpProtoAndCheckerMaker(proto, op_checker) {
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AddInput("X", "The left tensor of minus operator.").NotInGradient();
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AddInput("Y", "The right tensor of minus operator.").NotInGradient();
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AddOutput("Out", "The output tensor of minus operator.").NotInGradient();
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AddComment(R"DOC(Minus Operator
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Equation: Out = X - Y
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)DOC");
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}
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};
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template <typename AttrType>
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class MinusGradOp : public NetOp {
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public:
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MinusGradOp(const std::string &type, const VarNameMap &inputs,
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const VarNameMap &outputs, const framework::AttributeMap &attrs)
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: NetOp(type, inputs, outputs, attrs) {
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auto out_grad = Input(framework::GradVarName("Out"));
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auto x_grad = Output(framework::GradVarName("X"));
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auto y_grad = Output(framework::GradVarName("Y"));
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// x_grad = out_grad
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AddOp(framework::OpRegistry::CreateOp("identity", {{"X", {out_grad}}},
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{{"Out", {x_grad}}}, {}));
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framework::AttributeMap scale_attr;
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scale_attr["scale"] = static_cast<AttrType>(-1);
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AddOp(framework::OpRegistry::CreateOp("scale", {{"X", {out_grad}}},
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{{"Out", {y_grad}}}, scale_attr));
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}
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};
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} // namespace operators
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} // namespace paddle
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USE_OP(scale);
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USE_OP_ITSELF(identity);
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namespace ops = paddle::operators;
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REGISTER_OP(minus, ops::MinusOp, ops::MinusOpMaker, minus_grad,
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ops::MinusGradOp<float>);
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REGISTER_OP_CPU_KERNEL(minus,
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ops::MinusKernel<paddle::platform::CPUPlace, float>);
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